Automated detection of epithelial changes in colorectal carcinoma

2012 ◽  
Vol 50 (05) ◽  
Author(s):  
G Valcz ◽  
I Bándi ◽  
B Wichmann ◽  
A Patai ◽  
D Szabó ◽  
...  
Keyword(s):  
Colorectal Carcinoma ◽  
Automated Detection

Diagnosis of invasion depth in early colorectal carcinoma by pit pattern analysis with magnifying endoscopy

2001 ◽  
Vol 13 (s1) ◽  
pp. S2-S5 ◽  
Author(s):  
Shinji Tanaka ◽  
Ken Haruma ◽  
Shinji Nagata ◽  
Shiro Oka ◽  
Kazuaki Chayama
Keyword(s):  
Colorectal Carcinoma ◽  
Pattern Analysis ◽  
Magnifying Endoscopy ◽  
Pit Pattern ◽  
Invasion Depth ◽  
Early Colorectal Carcinoma

CXCR4– a new antiangiogenic target in colorectal carcinoma?

2009 ◽  
Vol 47 (09) ◽  
Author(s):  
B Ingold ◽  
S Schulz ◽  
J Budczies ◽  
U Neumann ◽  
MPA Ebert ◽  
...  
Keyword(s):  
Colorectal Carcinoma

Myofibroblast-derived secreted frizzled-related protein 1 (SFRP1) can inhibit colorectal carcinoma field cancerization

2013 ◽  
Vol 51 (05) ◽  
Author(s):  
G Valcz ◽  
V Patai ◽  
I Füri ◽  
A Kalmár ◽  
B Péterfia ◽  
...  
Keyword(s):  
Colorectal Carcinoma ◽  
Field Cancerization ◽  
Related Protein

How can we decrease the risk of colorectal carcinoma in the general population with pedigree analyses

2004 ◽  
Vol 42 (05) ◽  
Author(s):  
B Tam ◽  
J Sánta ◽  
Á Salamon ◽  
E Vadász ◽  
F Felföldi ◽  
...  
Keyword(s):  
General Population ◽  
Colorectal Carcinoma

Machine Learning in Agriculture

2018 ◽  
Vol 8 (6) ◽  
pp. 26 ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Diagnosis ◽  
Automated Detection ◽  
Disease Prediction ◽  
Paper Briefly ◽  
Agriculture Sector ◽  
Modern Agriculture ◽  
Crop Disease

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.

Changes in PDGF concentration in surgically treated colorectal carcinoma

2008 ◽  
Vol 53 (1) ◽  
Author(s):  
M Mantur ◽  
J Snarska ◽  
A Sidorska ◽  
H Ostrowska ◽  
K Kruszewska-Wnorowska ◽  
...  
Keyword(s):  
Colorectal Carcinoma
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